The Island Model

This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towards the future. Parallel Architectures and Bioinspired Algorithms will be of value to both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to understand the present and the future of Parallel Architectures and Bioinspired Algorithms.

Daisy Papp is an Excellence Coach and the author of the groundbreaking 5+2 Love Formula. Over the years, Daisy has further developed the Island Model, an invention/intervention of renowned Psychologist and Top Management Trainer Vera F. Birkenbihl. It is a surprisingly easy to understand metaphor that changes the insights and outlooks of the reader, the Island-Apprentice. The Island Model is logical, to the point, and quickly becomes an asset with high yield. This practical advice is recommended to anyone who wants to live successfully a more content and balanced life filled with tolerance and acceptance. In this book, you will learn: -How top achievers use The Island Model as an asset, -How to shed cultural, traditional, educational, and economical differences so you can focus your energy on tolerance and acceptance, and -How knowing why people (including you) do what they do, when they do it, can help you to succeed.

A study of place, identity, music, politics and regionalism which calls for a radical restructuring of the British Isles. In the early twenty-first century, "Englishness" suddenly became a hot topic. A rash of art exhibitions, pop albums and coffee table books arrived on the scene, all desperate to recover England’s lost national soul. But when we sweep away the patriotic stereotypes, we begin to see that England is a country that does not — and perhaps should not — exist in any essential sense. In this provocative text combining polemic and memoir, Alex Niven argues that the map of the British Isles should be torn apart completely as we look towards a time of radical political reform. Rejecting outdated nationalisms, Niven argues for a renovated model of culture and governance for the islands — a fluid, dynamic version of regionalism preparing the way for a new "dream archipelago".

This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications.

This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. This book also presents new algorithms based on several analogies and metafores, where one of them is based on philosophy, specifically on the philosophy of praxis and dialectics. In this book it is also presented interesting applications on bioinformatics, specially the use of particle swarms to discover gene expression patterns in DNA microarrays. Therefore, this book features representative work on the field of evolutionary computation and applied sciences. The intended audience is graduate, undergraduate, researchers, and anyone who wishes to become familiar with the latest research work on this field.

This book constitutes the proceedings of the Second Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2016, held in Canberra, ACT, Australia, in February 2016. The 30 full papers presented in this volume were carefully reviewed and selected from 41 submissions. They are organized in topical sections named: mathematical modeling and theory; learning and optimization; planning and scheduling; feature selection; and applications and games.